list_methods [Experimental]

Tired of not having map, filter and reduce easily available like in Javascript, Java, Kotlin, etc? Fear not, this is the package for you(sort of).

Experimental package adding .map(), .filter() and .reduce() as list methods. Made mostly as PoC showing how the Python language can be extended in some way.

Installation

pip install list_methods

Use

>>> from list_methods import L
>>> l = L([1,2,3])
>>> plus_one = lambda x : x+1
>>> greater_than_one = lamda x : x > 1
>>> l.map(plus_one).c()
L([2,3,4])
>>> l.filter(greater_than_one).c()
L([2,3])
>>> l.map(plus_one).map(plus_one).filter(greater_than_one).c()
L([3,4,5])
>>> agg_plus = lambda x,y: x+y
>>> l.reduce(agg_plus)
6

Gotchas

Remember to call the .c() method since this resets the object so it can be used further. This is not necessary when ending the chain of operations with .reduce()

Javascript

> l = [1,2,3]
> l.map(x => x +1)
[2,3,4]
> l.map(x => x +1)
[2,3,4]

list_methods - Python

>>> l.map(plus_one)
L([2,3,4])
>>> l.map(plus_one)
L([3,4,5])

Gotcha #2

The list needs to be copied when instantiating the object so it can be reset for other use. One can use the optional flag if the copying is unwanted and resetting the final state is not necessary L([1,2],mutable=True)

TODO

• Write tests
• Write benchmarks
• Test a implementation where a new instance of the class is returned instead of self